MPAC: a computational framework for inferring cancer pathway activities from multi-omic data

Peng Liu; David Page; Paul Ahlquist; Irene M. Ong; Anthony Gitter

doi:10.1101/2024.06.15.599113

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MPAC: a computational framework for inferring cancer pathway activities from multi-omic data

View ORCID ProfilePeng Liu, View ORCID ProfileDavid Page, View ORCID ProfilePaul Ahlquist, View ORCID ProfileIrene M. Ong, View ORCID ProfileAnthony Gitter

doi: https://doi.org/10.1101/2024.06.15.599113

Peng Liu

1Department of Biostatistics and Medical Informatics, University of Wisconsin–Madison, Madison, Wisconsin, United States of America

2Carbone Cancer Center, University of Wisconsin–Madison, Madison, Wisconsin, United States of America

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ORCID record for Peng Liu

David Page

1Department of Biostatistics and Medical Informatics, University of Wisconsin–Madison, Madison, Wisconsin, United States of America

2Carbone Cancer Center, University of Wisconsin–Madison, Madison, Wisconsin, United States of America

3Department of Computer Sciences, University of Wisconsin–Madison, Madison, Wisconsin, United States of America

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Paul Ahlquist

4John and Jeanne Rowe Center for Research in Virology, Morgridge Institute for Research, Madison, Wisconsin, United States of America

5McArdle Laboratory for Cancer Research, University of Wisconsin–Madison, Madison, Wisconsin, United States of America

6Institute for Molecular Virology, University of Wisconsin–Madison, Madison, Wisconsin, United States of America

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Irene M. Ong

1Department of Biostatistics and Medical Informatics, University of Wisconsin–Madison, Madison, Wisconsin, United States of America

2Carbone Cancer Center, University of Wisconsin–Madison, Madison, Wisconsin, United States of America

7Department of Obstetrics and Gynecology, University of Wisconsin–Madison, Madison, Wisconsin, United States of America

8Center for Human Genomics and Precision Medicine, University of Wisconsin–Madison, Madison, Wisconsin, United States of America

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For correspondence: irene.ong@wisc.edu gitter@biostat.wisc.edu

Anthony Gitter

1Department of Biostatistics and Medical Informatics, University of Wisconsin–Madison, Madison, Wisconsin, United States of America

3Department of Computer Sciences, University of Wisconsin–Madison, Madison, Wisconsin, United States of America

4John and Jeanne Rowe Center for Research in Virology, Morgridge Institute for Research, Madison, Wisconsin, United States of America

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ORCID record for Anthony Gitter
For correspondence: irene.ong@wisc.edu gitter@biostat.wisc.edu

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https://bioconductor.org/packages/MPAC
https://github.com/pliu55/MPAC_Shiny
https://connect.doit.wisc.edu/content/122/

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Posted June 17, 2024.

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MPAC: a computational framework for inferring cancer pathway activities from multi-omic data

Peng Liu, David Page, Paul Ahlquist, Irene M. Ong, Anthony Gitter

bioRxiv 2024.06.15.599113; doi: https://doi.org/10.1101/2024.06.15.599113

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MPAC: a computational framework for inferring cancer pathway activities from multi-omic data

Peng Liu, David Page, Paul Ahlquist, Irene M. Ong, Anthony Gitter

bioRxiv 2024.06.15.599113; doi: https://doi.org/10.1101/2024.06.15.599113

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